Senior Consultant - Data Analytics - Cloud/Big Data
First seen by Alion on Nov 5, 2026.
Job Description:
Position Title: Senior Consultant - Data Analytics
Practice: Analytics and Insights Experience
Total Experience: 8 - 12 years
Position Purpose:
The position of Senior Analyst is within TTEC Digital Analytics and Insights Experience (AIX) team. The AIX group is responsible for Data Science and Engineering projects that include the design and validation of data models, build systems to collect, manage and convert transactional raw data to usable data structures to generate insights for decision making. Our Data Engineers work with Data Scientists, Project Leads, and Managers on implementation, upgrade, and migration projects.
Key Responsibilities:
- Develop and implement data ingestion pipeline
- Develop and implement data validation process
- Developing and maintaining datasets
- Improving data quality and efficiency
- Analyzing raw data
- Create solutions and design documentation
- Work on projects independently as well as being part of a large team
- Crosstrain Junior Data Engineers or other team members with your area of expertise
- Further develop skills both on the job and through formal learning channels
- Assist in pre-sales activities by providing accurate work estimate
- Interacts closely with Project Management to deliver projects that are done on time and on budget.
Competencies:
1. Personal:
- Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results oriented, resourceful, problem-solving ability, deal effectively with difficult situations, ability to prioritize.
2. Leadership:
- Ability to gain credibility, motivate and provide leadership; work with a diverse customer base; maintain a positive attitude.
- Provide support and guidance to more junior team members, particularly for challenging and sensitive assignments.
3. Operations:
- Ability to manage multiple projects and products.
- Perform task at hand in a customer friendly manner while utilizing time and resources efficiently and effectively.
- Utilize high level expertise to address more difficult situations, both from a technical and customer service perspective.
4. Technical:
- Ability to understand and communicate technical concepts; proficient with Microsoft Project, Visio and Office products.
Technical Skills:
- Python (pandas, numpy, pyspark)
- SQL (MS SQL, OracleDB, Terradata)
- Google Cloud Platform
- CI/CD tools
- Google Vertex AI
- Big Data (Spark, pig, hive, scoop, kafka etc.)
- Agile/Scrum
- Rest Services and API Management: Implementing API proxies through gateways using Apigee X and/or Apigee Edge; API design, development, and testing including creating SWAGGER/Open API specs
Education, Experience and Certification:
- Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field.
- BA/BS in unrelated field will also be considered depending on experience
- 5 - 8 years in Data Science
- 3+ years of application design and development experience in a cloud environment
- 2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment
- 2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, Node.js, Java
- Google Cloud Certified Professional Data Scientist
- Google Cloud Certified Cloud DevOps Engineer (Optional)
Organizational Description:
At TTEC everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology. We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.
Skills
Data Science, Data Analytics, Analytics, Python, SQL, Machine Learning, Data Modeling, Big Data